What is Linear Regression? What are some of the major drawbacks of the

1.	What is Linear Regression? What are some of the major drawbacks of the linear model?
Answer» Linear regression is a TECHNIQUE in which the score of a variable Y is predicted using the score of a PREDICTOR variable X. Y is called the criterion variable. Some of the drawbacks of Linear Regression are as follows: The ASSUMPTION of LINEARITY of errors is a major drawback. It cannot be used for binary outcomes. We have Logistic Regression for that. Overfitting problems are there that can’t be solved.

What is Linear Regression? What are some of the major drawbacks of the linear model?

Answer»

Linear regression is a TECHNIQUE in which the score of a variable Y is predicted using the score of a PREDICTOR variable X. Y is called the criterion variable. Some of the drawbacks of Linear Regression are as follows:

The ASSUMPTION of LINEARITY of errors is a major drawback.
It cannot be used for binary outcomes. We have Logistic Regression for that.
Overfitting problems are there that can’t be solved.

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What is Linear Regression? What are some of the major drawbacks of the linear model?

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